Simulation eines CO 2 -Zertifikatenhandels und algorithmische Optimierung von Investitionen. - Silja Meyer-Nieberg; Stefan Pickl (OR, 2002)

On the Quality Gain of (1, lambda)-ES Under Fitness Noise. - Hans-Georg Beyer; Silja Meyer-Nieberg (PPSN, 2004)

On the analysis of self-adaptive recombination strategies: first results. - Silja Meyer-Nieberg; Hans-Georg Beyer (Congress on Evolutionary Computation, 2005)

On the Prediction of the Solution Quality in Noisy Optimization. - Hans-Georg Beyer; Silja Meyer-Nieberg (FOGA, 2005)

A New Approach for Predicting the Final Outcome of Evolution Strategy Optimization Under Noise. - Hans-Georg Beyer; Dirk V. Arnold; Silja Meyer-Nieberg (Genet. Program. Evolvable Mach., 2005)

A Simulation Application for Predator-Prey Systems. - Ulrike Leopold-Wildburger; Silja Meyer-Nieberg; Stefan Pickl; Jörg Schütze (OR, 2006)

Self-adaptation on the Ridge Function Class: First Results for the Sharp Ridge. - Hans-Georg Beyer; Silja Meyer-Nieberg (PPSN, 2006)

Self-adaptation of evolution strategies under noisy fitness evaluations. - Hans-Georg Beyer; Silja Meyer-Nieberg (Genet. Program. Evolvable Mach., 2006)

Mutative Self-adaptation on the Sharp and Parabolic Ridge. - Silja Meyer-Nieberg; Hans-Georg Beyer (FOGA, 2007)

Self-adaptation in evolution strategies. - Silja Meyer-Nieberg (2007)

Self-Adaptation in Evolutionary Algorithms. - Silja Meyer-Nieberg; Hans-Georg Beyer (Parameter Setting in Evolutionary Algorithms, 2007)

Why noise may be good: additive noise on the sharp ridge. - Silja Meyer-Nieberg; Hans-Georg Beyer (GECCO, 2008)

Electric load forecasting methods: Tools for decision making. - Heiko Hahn; Silja Meyer-Nieberg; Stefan Pickl (Eur. J. Oper. Res., 2009)

Electric Load Forecasting: An Experimental Comparison. - Sonia De Cosmis; Renato De Leone; Erik Kropat; Silja Meyer-Nieberg; Stefan Pickl; Jessica Rosati (CTW, 2012)

The Dynamical Systems Approach - Progress Measures and Convergence Properties. - Silja Meyer-Nieberg; Hans-Georg Beyer (Handbook of Natural Computing, 2012)

Intercepting a Target with Sensor Swarms. - Silja Meyer-Nieberg; Erik Kropat; Stefan Pickl; Alexander B. Bordetsky (HICSS, 2013)

Evolutionary Particle Filters: Model-free Object Tracking - Combining Evolution Strategies and Particle Filters. - Silja Meyer-Nieberg; Erik Kropat; Stefan Pickl (ICORES, 2013)

Dynamical Supply Networks for Crisis and Disaster Relief: Networks Resilience and Decision Support in Uncertain Environments. - Silja Meyer-Nieberg; Erik Kropat; Patrick Dolan Weber (OR, 2013)

Electric load forecasting using support vector machines for robust regression. - Sonia De Cosmis; Renato De Leone; Erik Kropat; Silja Meyer-Nieberg; Stefan Pickl (SpringSim (EAIA), 2013)

Slime Mold Inspired Evolving Networks under Uncertainty (SLIMO). - Erik Kropat; Silja Meyer-Nieberg (HICSS, 2014)

Tracking Targets under Uncertainty: Natural Computing Approaches. - Silja Meyer-Nieberg; Erik Kropat (HICSS, 2014)

Adapting the Covariance Matrix in Evolution Strategies. - Silja Meyer-Nieberg; Erik Kropat (ICORES, 2014)

A New Look at the Covariance Matrix Estimation in Evolution Strategies. - Silja Meyer-Nieberg; Erik Kropat (ICORES (Selected Papers), 2014)

Modellbasierende Früherkennung politischer Krisen: Prototyp einer serviceorientiertenPlattform. - Klaus Arto; Bo Hu; Armin Leopold; Silja Meyer-Nieberg; Goran Mihelcic; Jan Stutzki; Tim Tepel (MKWI, 2014)

Service Oriented Approaches for Crisis and Disaster Management. - Erik Kropat; Silja Meyer-Nieberg; Goran Mihelcic; Stefan Pickl (MKWI, 2014)

Small populations, high-dimensional spaces: Sparse covariance matrix adaptation. - Silja Meyer-Nieberg; Erik Kropat (FedCSIS, 2015)

Simulation-Based Analyses for Critical Infrastructure Protection: Identifying Risks by Using Data Farming. - Silja Meyer-Nieberg; Martin Zsifkovits; Dominik Hauschild; Stefan Luther (OR, 2015)

Sparse Covariance Matrix Adaptation Techniques for Evolution Strategies. - Silja Meyer-Nieberg; Erik Kropat (SGAI Conf., 2015)

Quantitative network analysis for passenger pattern recognition: An analysis of railway stations. - Martin Zsifkovits; Marian Sorin Nistor; Silja Meyer-Nieberg (SoCPaR, 2015)

Preface. - Ulrich Faigle; Erik Kropat; Renato De Leone; Silja Meyer-Nieberg; Stefan Pickl (Discret. Appl. Math., 2015)

Introduction to the Minitrack on Humanitarian Operations Research - Decision Analytics for Crisis and Disaster Management. - Erik Kropat; Silja Meyer-Nieberg (HICSS, 2016)

A Multi-layered Adaptive Network Approach for Shortest Path Planning During Critical Operations in Dynamically Changing and Uncertain Environments. - Erik Kropat; Silja Meyer-Nieberg (HICSS, 2016)

Evolution Strategies and Covariance Matrix Adaptation - Investigating New Shrinkage Techniques. - Silja Meyer-Nieberg; Erik Kropat (ICAART (2), 2016)

Fuzzy prediction strategies for gene-environment networks - Fuzzy regression analysis for two-modal regulatory systems. - Erik Kropat; Ayse Özmen; Gerhard-Wilhelm Weber; Silja Meyer-Nieberg; Ozlem Defterli (RAIRO Oper. Res., 2016)

Coordinating a team of searchers: of ants, swarms, and slime molds. - Silja Meyer-Nieberg (GECCO, 2017)

Aerial Vehicle Search-Path Optimization: A Novel Method for Emergency Operations. - Manon Raap; Silja Meyer-Nieberg; Stefan Pickl; Martin Zsifkovits (J. Optim. Theory Appl., 2017)

Evolving Artificial Neural Networks for Multi-objective Tasks. - Steven Künzel; Silja Meyer-Nieberg (EvoApplications, 2018)

Inferential Statistics and simulation Generated samples: a Critical Reflection. - Marko A. Hofmann; Silja Meyer-Nieberg; Tobias Uhlig (WSC, 2018)

Time to dispense with the p-value in OR? - Marko A. Hofmann; Silja Meyer-Nieberg (Central Eur. J. Oper. Res., 2018)

Can Evolution Strategies Benefit from Shrinkage Estimators? - Silja Meyer-Nieberg; Erik Kropat (Trans. Comput. Collect. Intell., 2018)

Moving target search optimization - A literature review. - Manon Raap; Michael Preuß 001; Silja Meyer-Nieberg (Comput. Oper. Res., 2019)

Computational networks and systems - homogenization of variational problems on micro-architectured networks and devices. - Erik Kropat; Silja Meyer-Nieberg; Gerhard-Wilhelm Weber (Optim. Methods Softw., 2019)

Coping with opponents: multi-objective evolutionary neural networks for fighting games. - Steven Künzel; Silja Meyer-Nieberg (Neural Comput. Appl., 2020)

ANN-EMOA: Evolving Neural Networks Efficiently. - Steven Künzel; Silja Meyer-Nieberg (EvoApplications, 2022)